**Predict Electricity Consumption Using Time Series Analysis** - Jan 2, 2020.

Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.

Tags: ARIMA, Electricity, Python, Time Series

**Introduction to Forecasting with ARIMA in R** - Jan 16, 2017.

ARIMA models are a popular and flexible class of forecasting model that utilize historical information to make predictions. In this tutorial, we walk through an example of examining time series for demand at a bike-sharing service, fitting an ARIMA model, and creating a basic forecast.

Tags: ARIMA, Datascience.com, Forecasting, R, Stationarity, Time Series

**Combining Different Methods to Create Advanced Time Series Prediction** - Nov 16, 2016.

The results from combining methods for time series prediction have been quite promising. However, the degree of error for long-term predictions is still quite high. Sounds like a challenge, so some new experiments are forthcoming!

Tags: ARIMA, Data Science, Machine Learning, Prediction, Time Series